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Amazon SAP-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Migration Planning	15%	- Validation and testing post-migration - Data migration considerations 1. Large-scale data transfer 2. Snow family devices - Migration tools and services 1. AWS DataSync 2. AWS Application Migration Service 3. AWS Migration Hub 4. AWS Server Migration Service 5. AWS Transfer Family - Migration strategies 1. Refactoring 2. Repurchasing 3. Rehosting (lift-and-shift) 4. Replatforming 5. Hybrid migration
Design for New Solutions	31%	- Cloud Adoption Readiness 1. 6 Rs of migration 2. Migration strategy assessment - Multi-tier architecture 1. Data tier considerations 2. Application tier 3. Web tier design - Network design 1. Security groups and NACLs 2. Network segmentation 3. Subnet planning 4. VPC architecture - Cost optimization at design phase 1. Spot instances 2. Reserved Instances and Savings Plans 3. Right-sizing resources - Microservices patterns 1. Event-driven architecture 2. Serverless architectures (Lambda) 3. Containers and ECS/EKS - High availability and fault tolerance 1. Backup and restore 2. Multi-AZ deployments 3. Disaster recovery strategies - Database migration 1. AWS DMS (Database Migration Service) 2. Database types and selection 3. Schema Conversion Tool (SCT)
Continuous Improvement for Existing Solutions	23%	- Security hardening 1. Identity and access management 2. Security monitoring 3. Encryption strategies - Operational excellence improvements 1. CI/CD pipelines 2. Monitoring and logging (CloudWatch) 3. Infrastructure as Code (CloudFormation, Terraform) - Reviewing existing architectures 1. Reliability pillar 2. AWS Well-Architected Framework 3. Cost optimization pillar 4. Security pillar 5. Operational excellence pillar 6. Performance efficiency pillar - Performance optimization 1. Caching strategies (CloudFront, ElastiCache) 2. CDN implementation 3. Database optimization - Modernization strategies 1. Containerization 2. Re-architecting monolithic applications 3. Serverless transformation
Cost Control	18.5%	- Resource efficiency 1. Auto Scaling 2. Managed services 3. Serverless optimization - Reserved capacity planning 1. Reserved Instances 2. Savings Plans 3. Capacity Reservations - Rightsizing recommendations - Monitoring and controlling costs 1. Anomaly detection 2. Budget alerts - Cost optimization strategies 1. AWS Cost Explorer 2. AWS Budgets 3. Cost allocation tags 4. Cost categories
Design for Organizational Complexity	12.5%	- Multi-account AWS environments - Cross-account strategies and AWS organizations 1. Organizational Units (OUs) 2. Service Control Policies (SCPs) 3. AWS Control Tower - Networks 1. Hybrid DNS architecture 2. AWS Direct Connect 3. AWS Transit Gateway 4. VPN connections

>> SAP-C02 Certification Test Questions <<

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Amazon AWS Certified Solutions Architect - Professional (SAP-C02) Sample Questions (Q771-Q776):

NEW QUESTION # 771
A company is migrating a document processing workload to AWS. The company has updated many applications to natively use the Amazon S3 API to store, retrieve, and modify documents that a processing server generates at a rate of approximately 5 documents every second. After the document processing is finished, customers can download the documents directly from Amazon S3.
During the migration, the company discovered that it could not immediately update the processing server that generates many documents to support the S3 API. The server runs on Linux and requires fast local access to the files that the server generates and modifies. When the server finishes processing, the files must be available to the public for download within 30 minutes.
Which solution will meet these requirements with the LEAST amount of effort?

A. Set up an Amazon S3 File Gateway and configure a file share that is linked to the document store.
Mount the file share on an Amazon EC2 instance by using NFS. When changes occur in Amazon S3, initiate a RefreshCache API call to update the S3 File Gateway.
B. Configure Amazon FSx for Lustre with an import and export policy. Link the new file system to an S3 bucket. Install the Lustre client and mount the document store to an Amazon EC2 instance by using NFS.
C. Configure AWS DataSync to connect to an Amazon EC2 instance. Configure a task to synchronize the generated files to and from Amazon S3.
D. Migrate the application to an AWS Lambda function. Use the AWS SDK for Java to generate, modify, and access the files that the company stores directly in Amazon S3.

Answer: B

Explanation:
Explanation
The company should configure Amazon FSx for Lustre with an import and export policy. The company should link the new file system to an S3 bucket. The company should install the Lustre client and mount the document store to an Amazon EC2 instance by using NFS. This solution will meet the requirements with the least amount of effort because Amazon FSx for Lustre is a fully managed service that provides a high-performance file system optimized for fast processing of workloads such as machine learning, high performance computing, video processing, financial modeling, and electronic design automation1. Amazon FSx for Lustre can be linked to an S3 bucket and can import data from and export data to the bucket2. The import and export policy can be configured to automatically import new or changed objects from S3 and export new or changed files to S3 . This will ensure that the files are available to the public for download within 30 minutes. Amazon FSx for Lustre supports NFS version 3.0 protocol for Linux clients.
The other options are not correct because:
Migrating the application to an AWS Lambda function would require a lot of effort and may not be feasible for the existing server that generates many documents. Lambda functions have limitations on execution time, memory, disk space, and network bandwidth.
Setting up an Amazon S3 File Gateway would not work because S3 File Gateway does not support write-back caching, which means that files written to the file share are uploaded to S3 immediately and are not available locally until they are downloaded again. This would not provide fast local access to the files that the server generates and modifies.
Configuring AWS DataSync to connect to an Amazon EC2 instance would not meet the requirement of making the files available to the public for download within 30 minutes. DataSync is a service that transfers data between on-premises storage systems and AWS storage services over the internet or AWS Direct Connect. DataSync tasks can be scheduled to run at specific times or intervals, but they are not triggered by file changes.
References:
https://aws.amazon.com/fsx/lustre/
https://docs.aws.amazon.com/fsx/latest/LustreGuide/create-fs-linked-data-repo.html
https://docs.aws.amazon.com/fsx/latest/LustreGuide/import-export-data-repositories.html
https://docs.aws.amazon.com/fsx/latest/LustreGuide/mounting-on-premises.html
https://docs.aws.amazon.com/lambda/latest/dg/gettingstarted-limits.html
https://docs.aws.amazon.com/storagegateway/latest/userguide/StorageGatewayConcepts.html
https://docs.aws.amazon.com/datasync/latest/userguide/what-is-datasync.html

NEW QUESTION # 772
A company manages hundreds of AWS accounts centrally in an organization in AWS Organizations. The company recently started to allow product teams to create and manage their own S3 access points in their accounts. The S3 access points can be accessed only within VPCs not on the internet.
What is the MOST operationally efficient way to enforce this requirement?

A. Use AWS CloudFormation StackSets to create a new 1AM policy in each AVVS account that allows the s3: CreateAccessPoint action only if the s3 AccessPointNetworkOrigin condition key evaluates to VPC.
B. Set the S3 bucket policy to deny the s3: CreateAccessPoint action unless the s3 AccessPointNetworkOrigin condition key evaluates to VPC.
C. Create an SCP at the root level in the organization to deny the s3 CreateAccessPoint action unless the s3 AccessPomtNetworkOngin condition key evaluates to VPC.
D. Set the S3 access point resource policy to deny the s3 CreateAccessPoint action unless the s3:
AccessPointNetworkOngm condition key evaluates to VPC.

Answer: C

Explanation:
https://aws.amazon.com/s3/features/access-points/
https://aws.amazon.com/blogs/storage/managing-amazon-s3-access-with-vpc-endpoints-and-s3-access-points/

NEW QUESTION # 773
A financial services company receives a regular data feed from its credit card servicing partner Approximately 5.000 records are sent every 15 minutes in plaintext, delivered over HTTPS directly into an Amazon S3 bucket with server-side encryption. This feed contains sensitive credit card primary account number (PAN) data The company needs to automatically mask the PAN before sending the data to another S3 bucket for additional internal processing. The company also needs to remove and merge specific fields, and then transform the record into JSON format Additionally, extra feeds are likely to be added in the future, so any design needs to be easily expandable.
Which solutions will meet these requirements?

A. Tigger an AWS Lambda function on file delivery that extracts each record and wntes it to an Amazon SOS queue. Configure an AWS Fargate container application to
B. Trigger an AWS Lambda function on file delivery that extracts each record and writes it to an Amazon SQS queue. Trigger another Lambda function when new messages arrive in the SOS queue to process the records, writing the results to a temporary location in Amazon S3. Trigger a final Lambda function once the SOS queue is empty to transform the records into JSON format and send the results to another S3 bucket for internal processing.
C. Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, have the ETL job send the results to another S3 bucket for internal processing.
D. Create an AWS Glue crawler and custom classifier based upon the data feed formats and build a table definition to match. Perform an Amazon Athena query on file delivery to start an Amazon EMR ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, send the results to another S3 bucket for internal processing and scale down the EMR cluster.
E. automatically scale to a single instance when the SOS queue contains messages. Have the application process each record, and transform the record into JSON format. When the queue is empty, send the results to another S3 bucket for internal processing and scale down the AWS Fargate instance.

Answer: E

Explanation:
You can use a Glue crawler to populate the AWS Glue Data Catalog with tables. The Lambda function can be triggered using S3 event notifications when object create events occur. The Lambda function will then trigger the Glue ETL job to transform the records masking the sensitive data and modifying the output format to JSON. This solution meets all requirements.
Create an AWS Glue crawler and custom classifier based on the data feed formats and build a table definition to match. Trigger an AWS Lambda function on file delivery to start an AWS Glue ETL job to transform the entire record according to the processing and transformation requirements. Define the output format as JSON. Once complete, have the ETL job send the results to another S3 bucket for internal processing.
https://docs.aws.amazon.com/glue/latest/dg/trigger-job.html
https://d1.awsstatic.com/Products/product-name/diagrams/product-page-diagram_Glue_Event-driven-ETL-Pipelines.e24d59bb79a9e24cdba7f43ffd234ec0482a60e2.png

NEW QUESTION # 774
A finance company hosts a data lake in Amazon S3. The company receives financial data records over SFTP each night from several third parties.
The company runs its own SFTP server on an Amazon EC2 instance in a public subnet of a VPC.
After the files are uploaded, they are moved to the data lake by a cron job that runs on the same instance.
The SFTP server is reachable on DNS sftp.example.com through the use of Amazon Route 53.
What should a solutions architect do to improve the reliability and scalability of the SFTP solution?

A. Migrate the SFTP server to a file gateway in AWS Storage Gateway.
Update the DNS record sftp.example.com in Route 53 to point to the file gateway endpoint.
B. Place the EC2 instance behind a Network Load Balancer (NLB).
Update the DNS record sftp.example.com in Route 53 to point to the NLB.
C. Move the EC2 instance into an Auto Scaling group.
Place the EC2 instance behind an Application Load Balancer (ALB).
Update the DNS record sftp.example.com in Route 53 to point to the ALB.
D. Migrate the SFTP server to AWS Transfer for SFTP.
Update the DNS record sftp.example.com in Route 53 to point to the server endpoint hostname.

Answer: D

Explanation:
https://aws.amazon.com/aws-transfer-family/faqs/

NEW QUESTION # 775
A company runs an ecommerce application in a single AWS Region. The application uses a five- node Amazon Aurora MySQL DB cluster to store information about customers and their recent orders. The DB cluster experiences a large number of write transactions throughout the day.
The company needs to replicate the data in the Aurora database to another Region to meet disaster recovery requirements. The company has an RPO of 1 hour.
Which solution will meet these requirements with the LOWEST cost?

A. Turn off automated Aurora backups. Configure Aurora backups with a backup frequency of 1 hour. Specify another Region as the destination Region. Select the Aurora database as the resource assignment.
B. Enable the Backtrack feature for the Aurora database. Create an AWS Lambda function that runs daily to copy the snapshots of the database to a backup Region.
C. Use AWS Database Migration Service (AWS DMS). Create a DMS change data capture (CDC) task that replicates the ongoing changes from the Aurora database to an Amazon S3 bucket in another Region.
D. Modify the Aurora database to be an Aurora global database. Create a second Aurora database in another Region.

Answer: C

NEW QUESTION # 776
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